Results 61 to 70 of about 7,147,076 (289)

Machine learning for identifying liver and pancreas cancers through comprehensive serum glycopeptide spectra analysis: a case‐control study

open access: yesMolecular Oncology, EarlyView.
This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima   +6 more
wiley   +1 more source

Target Association of Heterogeneous Sensors Based on Nearest-neighbor and Topology

open access: yesLeida xuebao, 2012
A new data association algorithm is proposed in this paper for heterogeneous sensors information fusion system, which consists of Radar and high-dynamic-range IR, based on joint usage of the nearest-neighbor (NN) and the topology similarity. The proposed
Yuan Ding-bo   +3 more
doaj   +1 more source

Decrypting cancer's spatial code: from single cells to tissue niches

open access: yesMolecular Oncology, EarlyView.
Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik   +4 more
wiley   +1 more source

Sequential Recommendation Based on Multi-space Attribute Information Fusion [PDF]

open access: yesJisuanji kexue
The goal of sequential recommendation is to model users' dynamic interests from their historical behaviors,and hence to make recommendations related to the users' interests.Recently,attribute information has been demonstrated to improve the performance ...
WANG Zihong, SHAO Yingxia, HE Jiyuan, LIU Jinbao
doaj   +1 more source

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

open access: yesMolecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan   +9 more
wiley   +1 more source

Dynamic and efficient device collaborations in 5G‐advanced and 6G networks

open access: yesIET Communications
Collaborative transmission, comprising multiple devices owned by a single user, is progressively evolving into an essential strategy to meet the stringent demands of burgeoning collaborative scenarios in 5G‐advanced and 6G networks.
Xianghui Han   +5 more
doaj   +1 more source

Adenosine‐to‐inosine editing of miR‐200b‐3p is associated with the progression of high‐grade serous ovarian cancer

open access: yesMolecular Oncology, EarlyView.
A‐to‐I editing of miRNAs, particularly miR‐200b‐3p, contributes to HGSOC progression by enhancing cancer cell proliferation, migration and 3D growth. The edited form is linked to poorer patient survival and the identification of novel molecular targets.
Magdalena Niemira   +14 more
wiley   +1 more source

Distributed Bayesian Filtering using Logarithmic Opinion Pool for Dynamic Sensor Networks [PDF]

open access: yes, 2018
The discrete-time Distributed Bayesian Filtering (DBF) algorithm is presented for the problem of tracking a target dynamic model using a time-varying network of heterogeneous sensing agents.
Bandyopadhyay, Saptarshi, Chung, Soon-Jo
core   +1 more source

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